Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018

• Andere auteurs: Beyerer, Jürgen (Redacteur), Kühnert, Christian (Redacteur), Niggemann, Oliver (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Berlin, Heidelberg Springer Nature 2019
• Reeks: Technologien für die intelligente Automation
• Onderwerpen: Communications engineering / telecommunications; Data mining; Computer networking & communications; Artificial intelligence; Engineering; Computational intelligence; Computer organization; Electrical engineering
• Online toegang: OAPEN Library: download the publication; OAPEN Library: description of the publication

Samenvatting

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Fysieke beschrijving

1 electronic resource (136 p.)

ISBN

978-3-662-58485-9

Toegang

Open Access